ABSTRACT. I draw on a substantial body of theoretical and empirical research on the algorithmic governance of connected autonomous vehicles, and to explore this, I inspected, used, and replicated survey data from AAA, ANSYS, Atomik Research, AUVSI, BCG, Brookings, Capgemini, CivicScience, GenPop, Ipsos, Perkins Coie, Statista, and World Economic Forum, performing analyses and making estimates regarding data-driven decision support systems and smart sustainable urban mobility behaviors. Structural equation modeling was used to analyze the data and test the proposed conceptual model.

Keywords: urban mobility; connected; autonomous; vehicle; smart; sustainable

How to cite: Davidson, R. (2020). “The Algorithmic Governance of Connected Autonomous Vehicles: Data-driven Decision Support Systems and Smart Sustainable Urban Mobility Behaviors,” Contemporary Readings in Law and Social Justice 12(2): 16–24. doi:10.22381/CRLSJ12220202

Received 9 June 2020 • Received in revised form 6 November 2020
Accepted 8 November 2020 • Available online 10 November 2020

Robert Davidson
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Digital Labor Markets
at CLI, Sydney, Australia

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

Joomla templates by Joomlashine